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146 results for “Kerr”
datasets of the paper "Parametrically driven Kerr cavity solitons"
<p>Dataset of the paper "Parametrically driven Kerr cavity solitons". It includes all the data related to the figures 4 and 5 of the published paper. Figure 4 and 5 of the published paper are also included. To use the data reported in the .csv files please consider the title of each file, where it is reported exactly the figure and the curve which it is referred to. </p>
Data and code for figures: Intrinsic Kerr amplification for microwave electromechanics
<p>This directory contains the datasets and code for generating the figures in the research article "Intrinsic Kerr amplification for microwave electromechanics", <em>Appl. Phys. Lett.</em> 124, 243503 (2024).</p>
implementation of an in-line Kerr active cavity equipped with a loop mirror
<p>This dataset includes the measurements of the resonances collected at the through port of an active fiber cavity (in in-line configuration) of 5 meters of length based on a step index silica fiber and including a loop mirror and a fiberized mirror at the two ends of the cavity. The dataset includes also the measurement of the effective losses of the in-line active cavity vs. the intracavity power. </p>
Kerr quasinormal mode frequencies and excitation factors
<p>Kerr quasinormal mode frequencies and excitation factors for gravitational ($s=-2$), electromagnetic ($s=-1$), and scalar fields ($s=0$). Normalization is $2M=1$ except for the spin parameter $a/M$.</p> <h2>Data Format</h2> <p>$a/M$, $\mathrm{Re}(2M\omega)$, $\mathrm{Im}(2M\omega)$, $\mathrm{Re}(A)$, $\mathrm{Im}(A)$, $\mathrm{Re}(\nu)$, $\mathrm{Im}(\nu)$, $\mathrm{Re}(B)$, $\mathrm{Im}(B)$</p> <p>$M$: Mass<br>$a$: Spin parameter<br>$\omega$: Quasinormal mode frequency<br>$A$: Separation constant<br>$\nu$: Renormalized angular momentum<br>$B$: Excitation factor</p> <h2>Version History</h2> <p>Version 0.2.0: Expanded dataset with additional modes: <br> $s=-2$, $\ell=4–6$, $n=0–7$ <br> $s=-1$, $\ell=2–6$, $n=0–7$<br> $s=0$, $\ell=1–6$, $n=0–7$<br>Version 0.1.1: Added GIF animation (no changes to dataset)<br>Version 0.1.0: Initial release with $s=-2$, $\ell=2–3$, $n=0–7$</p>
Kerr reversal in Josephson meta-material and traveling wave parametric amplification datasets
<p>This repository contains raw data for results presented in article "Kerr reversal in Josephson meta-material and traveling wave parametric amplification" (Preprint : arXiv:2101.05815). All data is stored in numpy(numpy.org) array format.</p> <p><strong>Please site any usage to original publication.</strong></p> <p><br> # Gain data</p> <p> The data used for generating Fig. 3(a) of main text:<br> <br> - Gain_6_freq contains frequency axis, gain_6 contains corresponding gain data when the device is pumped at 6 GHz<br> <br> - Gain_8_freq contains frequency axis, gain_8 contains corresponding gain data when the device is pumped at 8 GHz<br> <br> - Gain_10_freq contains frequency axis, gain_10 contains corresponding gain data when the device is pumped at 10 GHz</p> <p><br> # Saturation data</p> <p> The data used for generating Fig. 3(d) of main text:</p> <p> - saturation_6_pow contains input signal power at 6.05 GHz and saturation_6_gain contains gain as a function of the same when device is pumped at 8 GHz.</p> <p> - saturation_9.5_pow contains input signal power at 9.5 GHz and saturation_9.5_gain contains gain as a function of the same when device is pumped at 8 GHz.</p> <p><br> # Noise data</p> <p> The raw data used for fitting noise performance of the TWPA as depicted in Fig. 4 of main text:</p> <p> - noise_without_TWPA_temperature : contains noise temperature of the amplification chain without TWPA, in<br> Kelvin.<br> - noise_without_TWPA_sys_gain_dB : contains gain of the amplification chain without TWPA, in dB.</p> <p> - noise_freq : contains frequency axis for the measured PSD.</p> <p> - noise_thermal_source_temperature : contains temperature data of the thermal noise source.</p> <p> - noise_with_TWPA_PSD_vs_thermal_source_temperature : contains PSD measured with 200 MHz RBW as a function<br> of frequency and temperature of thermal noise source.</p> <p><br> # Transmission data</p> <p> Normalized transmission through the device.</p> <p> - transmission_flux : contains quantized flux axis for the measured transmission.</p> <p> - transmission_freq : contains frequency axis for the measured transmission.</p> <p> - transmission : contains transmission as a function of frequency and quantized flux, in dB.</p> <p><br> # Dispersion data</p> <p> Dispersion through the device.</p> <p> - dispersion_freq : contains frequency axis for the measured dispersion.</p> <p> - dispersion_phase_PCB : contains phase accumulation when RF switch is in PCB position as a function of<br> frequency, in radians.<br> - dispersion_flux_mA : contains flux axis for the measured dispersion, in mA.</p> <p> - dispersion_phase_device : contains phase accumulation when RF switch is in device position as a function<br> of frequency and flux, in radians.</p>
Figure 10 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 10. Blue dots - families visited by Melipona in the Amazon, between 1977 and 2020; red dots - families identified in this study as pollen sources for Melipona crinita; the lines between the red and blue dots indicate that the families identified in this study are part of those that are already known to provide floral resources for Melipona bees in the Amazon. The chart was built based on data from Pimentel et al. (2021). / Puntos azules - familias visitadas por Melipona en la AmazonÍa, entre 1977 y 2020; puntos rojos - familias identificadas en este estudio como fuentes de polen para Melipona crinita; las lÍneas entre los puntos rojo y azul indican que las familias identificadas en este estudio son parte de las que ya se sabe que proporcionan recursos florales para las abejas meliponas en la AmazonÍa. El gráfico fue construido con base en datos de Pimentel et al. (2021).
Figure 9 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 9. Frequency of pollen types collected by Melipona crinita, based on the origin and growth habit of each plant species. / Frecuencia de tipos de polen recolectados por Melipona crinita, según el origen y hábito de crecimiento de cada especie vegetal.
Figure 8 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 8. Frequency of growth habit and origin of plants visited by Melipona crinita, from April 2018 to March 2019. / Frecuencia de hábito de crecimiento y origen de las plantas visitadas por Melipona crinita, de abril de 2018 a marzo de 2019.
Figure 6 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 6. Frequency of occurrence of the most representative pollen types, within each sampled month. Only the two most abundant in each month are represented. / Frecuencia de presencia de los tipos de polen más representativos, dentro de cada mes muestreado. Sólo se representan los dos más abundantes de cada mes.
Figure 7 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 7. Distribution of the flowering period of the plants used by Melipona crinita, for pollen collection, from April 2018 to March 2019. / Distribución del periodo de floración de las plantas utilizadas por Melipona crinita para la recolección de polen, desde abril de 2018 hasta marzo de 2019.
Figure 2 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 2. Optical photomicrographs of pollen types collected by Melipona crinita: / FotomicrografÍas ópticas de tipos de polen recogidos por Melipona crinita: Anacardiaceae – Schinus (1); Apiaceae – Eryngium foetidum (2); Arecaceae – Astrocaryum aculeatum (3); Cocos nucifera (4); Oenocarpus bacaba (5); Asteraceae – Vernonia (6); Begoniaceae – Begonia (7); Bixaceae – Bixa (8); Cannabaceae – Celtis (9); Combretaceae – Combretum (10); Cucurbitaceae – Citrullus (11); Dilleniaceae – Doliocarpus (12); Doliocarpus dentatus (13); Euphorbiaceae – Alchornea (14); Aparisthmium cordatum (15); Croton lanjouwensis (16); Fabaceae (Caesalpinioideae) Copaifera multijuga (17); Delonix (18); Lonchocarpus (19); Senna (20); Fabaceae (Mimosoideae) Inga edulis (21); Inga marginata (22); Mimosa adenophylla (23); Mimosa caesalpiniifolia (24) (Bars = 20 µm).
Figure 1 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 1. Location of the meliponary where the study was carried out (Google Earth ™). / Ubicación del meliponario donde se realizó el estudio (Google Earth ™).
Figure 4 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 4. (a) Frequency of occurrence of botanical families visited by Melipona crinita, from April 2018 to March 2019. (b) Frequency of occurrence of the Mimosoideae, Caesalpinioideae and Papilionoideae subfamilies. / (a) Frecuencia de presencia de familias botánicas visitadas por Melipona crinita, de abril de 2018 a marzo de 2019. (b) Frecuencia de presencia de las subfamilias Mimosoideae, Caesalpinioideae y Papilionoideae.
Figure 5 in Pollen niche of Melipona crinita Moure & Kerr, 1950 (Hymenoptera: Apidae) in a meliponary of Acre, Brazil: a study case
Figure 5. Frequency of occurrence of pollen types present in samples of Melipona crinita, from April 2018 to March 2019. / Frecuencia de presencia de tipos de polen presentes en muestras de Melipona crinita, de abril 2018 a marzo 2019.
Figure 2 in Food habits of indian crested porcupine (Hystrix indica) (Kerr 1792), in district Bagh, Azad Jammu and Kashmir
Figure 2. Percent relative frequency of different parts of plants recovered from the fecal samples collected from the study area.
Figure 3 in Food habits of indian crested porcupine (Hystrix indica) (Kerr 1792), in district Bagh, Azad Jammu and Kashmir
Figure 3. Seasonal variation in the percentage of different parts of plant recovered from fecal samples in the study area.
Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Seven example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_CW_FI_Low2' models CW Faraday Instability appearance from Figure 3, in dimensionless units.</li> <li>Running 'lle_cavity_v4_Soliton_FI_1' models a dissipative soliton with Kelly sidebands or higher-order dispersive waves in dispersion modulated cavity, from Figure 4, in dimensionless units.</li> <li>Running 'lle_cavity_v4_SW_FI_Low2' models a switching wave with FI-motivated satellites in dispersion modulated cavity, from Figure 7, in dimensionless units.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F9C15R6_1_1b' (or just '1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 7(f) of the main paper, and Figure S5 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F2C15R5_2_3' (and also '3_1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 8 and 9 of the main paper, and Figure S6 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SolitonHDW_F1C16R6TM_5_s2' uses experimental data to reproduce the experiment as seen in Figure 6 for the pulse-driven soliton according to the LLE, results of which are shown in Figure S9 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions and over different time periods and sampling rates as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p> <p>This work was supported by Contract No. D18AC00032 (DRINQS) from the Defense Advanced Research Projects Agency (DARPA). This material is based upon work supported by the Air Force Office of Scientific Research under Grant No. FA9550-19-1-0250. This work was further supported by the European Union’s Horizon 2020 Program for Research and Innovation under Grant No. 812818 (Marie Skłodowska-Curie ETN MICROCOMB) and by the Swiss National Science Foundation under Grant Agreement No. 192293.</p>
Figure 4. Bayesian Inference phylogenetic tree inferred from 1039 in Genetic Relationships of Long-nosed Potoroos Potorous tridactylus (Kerr, 1792) from the Bass Strait Islands, with Notes on the Subspecies Potorous tridactylus benormi Courtney, 1963
Figure 4. Bayesian Inference phylogenetic tree inferred from 1039 bp of concatenated CO1 and ND2 mitochondrial DNA sequence data. Posterior probabilities for major lineages are shown. A similar tree topology was also inferred from Maximum Likelihood.
Figure 3. Maximum Likelihood phylogenetic tree inferred from 695 in Genetic Relationships of Long-nosed Potoroos Potorous tridactylus (Kerr, 1792) from the Bass Strait Islands, with Notes on the Subspecies Potorous tridactylus benormi Courtney, 1963
Figure 3. Maximum Likelihood phylogenetic tree inferred from 695 bp of CO1 mtDNA sequence, including data from the Potorous tridactylus benormi Holotype (AM M.8319) and Paratype (AM M.8373). Bootstrap values for major lineages are shown. A similar tree topology was inferred from Bayesian inference.
Figure 2 in Genetic Relationships of Long-nosed Potoroos Potorous tridactylus (Kerr, 1792) from the Bass Strait Islands, with Notes on the Subspecies Potorous tridactylus benormi Courtney, 1963
Figure 2. Holotype of Potorous tridactylus benormi AM M.8319 dorsal view (top) and lateral view (bottom). Photography by Sally Cowan.
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